Potential Based Reward Shaping for Hierarchical Reinforcement Learning
Potential Based Reward Shaping for Hierarchical Reinforcement Learning
Yang Gao,Francesca Toni
2015 · DBLP: conf/ijcai/GaoT15
International Joint Conference on Artificial Intelligence · 33 Citations
TLDR
This paper investigates the integration of PBRS and HRL, and proposes a new algorithm: PBRS-MAXQ- 0, which significantly outperforms MAXQ-0 given good heuristics, and can converge even when given misleading heuristic.
